Strategic Values of Cloud Computing Transformation

International audienceThis article aims to study the strategic transformative value dimensions of cloud computing.Organizational requirements, managerial strategic objectives, and their attendant challenges are veryspecific indicators that enable characterization of these dimensions. An exploratory study of 173cases of companies, covering 17 distinct economic activity sectors, spread over all continents, wasconducted, taking into account contingency factors such as culture, size, and structure. The elementsof industry, strategy, and technology were also considered, as well as managerial cognition. Theanalyses of needs, objectives, challenges, implemented solutions, and results of the transformation tocloud computing, enabled us to identify these dimensions. Strategies to maximize the transformativevalue of cloud computing are then presented. The results of this study can be used by managers tofacilitate and optimize this cloud computing transformation

Using lean-sigma for the integration of two products during a ramp-up event

Keeping up the quality level in in a manufacturing environment has become an issue when trying to start the production of a new product which is in a ramp-up stage into a running production line ramp-down model. If production of the old model is ended too fast will make shortages in the customer supply, and will have excessive inventory numbers of the newer product. Trying the re-design in a production line to keep building the old model while incorporating the newer tends to create an undesirable impact on quality and productivity. Nowadays, continuous improvement methodologies like Lean and Six Sigma are used to solve this challenge. While Lean Manufacturing tends to be efficient for quick fixes, Six Sigma works better when there is plenty of time to conduct deeper statistical analysis. This chapter describes a combination of Lean Manufacturing speed with the Six Sigma analysis' power. Combined to maintain the quality and productivity of a production process during such conditions